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Data source: MIT Election Data and Science Lab, Harvard Dataverse
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Votes for the Democratic Presidential candidate in Texas correlates with...

VariableCorrelationYearsHas img?
Hydopower energy generated in Nicaraguar=0.8911yrsYes!
US Tree Nut Consumption per Personr=0.856yrsNo



Votes for the Democratic Presidential candidate in Texas also correlates with...

VariableCorrelationYearsSys. Score
Annual US household spending on pets, toys, and hobbiesr=0.986yrs349
Annual US household spending on housingr=0.966yrs331
Jet fuel used in Cayman Islandsr=0.99yrs308
Automotive recalls issued by Keystone RV Companyr=0.936yrs301
US Bottled Water Consumption per Personr=0.916yrs300
Annual US household spending on property taxesr=0.956yrs300
Annual US household spending on eggsr=0.946yrs298
Annual US household spending on dairy productsr=0.946yrs298
Annual US household spending on utilitiesr=0.946yrs298
US household spending on pets, toys, and hobbiesr=0.946yrs298
Biomass power generated in Malawir=0.936yrs298
Gasoline pumped in Kiribatir=0.956yrs298
Total employee count at Continental AGr=0.926yrs296
Annual US household spending on transportationr=0.936yrs296
US household spending on housingr=0.936yrs296
Annual US household spending on fresh vegetablesr=0.926yrs295
US per-person consumption of bottled waterr=0.916yrs294
US production of butterr=0.916yrs294
US production of dry milk products (net)r=0.916yrs294
US milk fat used to produce butterr=0.916yrs294
Grocery store spend in Texasr=0.916yrs292
GMO use in cornr=0.96yrs268
The number of movies James Stewart appeared inr=0.878yrs267
Geothermal power generated in Guatemalar=0.926yrs266
US dairy skim solids used to produce butterr=0.916yrs262
GMO use in cornr=0.866yrs262
U.S. direct investment abroadr=0.876yrs259
Food spending in Texasr=0.896yrs259
Customer satisfaction with Southwest Airlinesr=0.857yrs257
Wind power generated in Czechiar=0.916yrs255
US dairy skim solids used to produce dry milk productsr=0.916yrs252
Annual US household spending on electricityr=0.926yrs245
Annual US household spending on other household productsr=0.926yrs240
Annual US household spending on fruits and vegetablesr=0.916yrs234
Annual US household spending on housekeeping suppliesr=0.916yrs229
Annual US household spending on entertainmentr=0.916yrs224
US household spending on property taxesr=0.916yrs219
Annual US household spending on bakery productsr=0.96yrs212
US production of cheese (other than cottage cheese)r=0.896yrs210
US production of sour creamr=0.896yrs200
Renewable energy production in Burkina Fasor=0.868yrs200
US milk fat used to produce cheese (excluding cottage cheese)r=0.896yrs190
Liquefied petroleum gas used in Germanyr=0.888yrs190
US dairy skim solids used to produce cheese (other than cottage cheese)r=0.896yrs179
Biomass power generated in Sloveniar=0.876yrs179
Annual US household spending on foodr=0.96yrs177
Annual US household spending on fresh fruitsr=0.96yrs172
US average milk-fat content of dry milk products (net)r=0.96yrs169
Wind power generated in Taiwanr=0.866yrs168
Annual US household spending on cereals and bakery productsr=0.896yrs165
Annual US household spending on processed vegetablesr=0.896yrs160
US milk fat used to produce sour creamr=0.866yrs156
Biomass power generated in Indiar=0.856yrs156
Annual US household spending on home maintenancer=0.896yrs155
GMO use in cottonr=0.856yrs152
Restaurant spending in Texasr=0.856yrs151
Total Federal Construction Expenditure in the United Statesr=0.856yrs150
US Wind Power Generation Capacityr=0.856yrs150
Air quality in Victoria, Texasr=0.828yrs150
Annual US household spending on poultryr=0.886yrs149
Yearly Total Gross Income of US Farmsr=0.836yrs148
The number of movies Humphrey Bogart appeared inr=0.787yrs148
Adidas Group's Global Net Salesr=0.856yrs146
Air quality in Victoria, Texasr=0.798yrs146
Annual US household spending on small appliancesr=0.886yrs144
US dairy skim solids used to produce sour creamr=0.866yrs144
Jet fuel used in Mongoliar=0.866yrs144
Air quality in Beaumont, Texasr=0.7411yrs141
Gender pay gap in the U.S.r=0.758yrs140
The number of movies Glenn Close appeared inr=0.719yrs139
Annual US household spending on rented dwellingsr=0.876yrs138
Jet fuel used in Sao Tome and Principer=0.866yrs134
Annual US household spending on telephone servicesr=0.866yrs131
Annual US household spending on maintenance and repairsr=0.866yrs126
GMO use in cotton in Texasr=0.856yrs122
Annual US household spending on healthcarer=0.866yrs121
Annual US household spending on health insurancer=0.866yrs116
GMO use in cotton in Texasr=0.846yrs111
GMO use in cottonr=0.826yrs98
The number of Breweries in the United Statesr=0.728yrs60
Muenster cheese consumptionr=0.87yrs30
US production of evaporated and condensed milkr=0.846yrs18
Jet fuel used in Gambiar=0.856yrs18
Solar power generated in Eritrear=0.826yrs6
US production of yogurt, nonfrozenr=0.826yrs5
Annual US household spending on nonalcoholic beveragesr=0.826yrs0
US dairy skim solids used to produce evaporated and condensed milkr=0.836yrs-5
Annual US household spending on laundry and cleaning suppliesr=0.826yrs-5
Solar power generated in Bangladeshr=0.816yrs-5
Annual US household spending on medical servicesr=0.826yrs-10
US average dairy skim-solid content of cheese (other than cottage cheese)r=0.846yrs-15
US household spending on health insurancer=0.826yrs-15
Biomass power generated in Slovakiar=0.816yrs-15
US dairy skim solids used to produce yogurt, nonfrozenr=0.826yrs-26
Biomass power generated in Japanr=0.7810yrs-26
US average dairy skim-solid content of fluid beverage milkr=0.836yrs-36
Gasoline pumped in Comorosr=0.816yrs-38
US average milk-fat content of cheese (other than cottage cheese)r=0.826yrs-48
Jet fuel used in Samoar=0.816yrs-48


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You caught me! While it would be intuitive to sort only by "correlation," I have a big, weird database. If I sort only by correlation, often all the top results are from some one or two very large datasets (like the weather or labor statistics), and it overwhelms the page.

I can't show you *all* the correlations, because my database would get too large and this page would take a very long time to load. Instead I opt to show you a subset, and I sort them by a magic system score. It starts with the correlation, but penalizes variables that repeat from the same dataset. (It also gives a bonus to variables I happen to find interesting.)
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